185 citations · 219 across the 20 of their papers we have counts for
6 papers · 1 filter
Embarrassingly Simple MixUp for Time-series
Karan Aggarwal, Jaideep Srivastava
Labeling time series data is an expensive task because of domain expertise and dynamic nature of the data. Hence, we often have to deal with limited labeled data settings. Data aug…
MOOCRep: A Unified Pre-trained Embedding of MOOC Entities
Shalini Pandey, Jaideep Srivastava
Many machine learning models have been built to tackle information overload issues on Massive Open Online Courses (MOOC) platforms. These models rely on learning powerful represent…
RKT : Relation-Aware Self-Attention for Knowledge Tracing
Shalini Pandey, Jaideep Srivastava
The world has transitioned into a new phase of online learning in response to the recent Covid19 pandemic. Now more than ever, it has become paramount to push the limits of online…
Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque +1
Sufficient physical activity and restful sleep play a major role in the prevention and cure of many chronic conditions. Being able to proactively screen and monitor such chronic co…
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning
Karan Aggarwal, Shafiq Joty, Luis F. Luque +1
Physical activity and sleep play a major role in the prevention and management of many chronic conditions. It is not a trivial task to understand their impact on chronic conditions…
Predictive Overlapping Co-Clustering
Chandrima Sarkar, Jaideep Srivastava
In the past few years co-clustering has emerged as an important data mining tool for two way data analysis. Co-clustering is more advantageous over traditional one dimensional clus…